Doxycycline decreases tumor burden in a bone metastasis model of human breast cancer.
Bibliographic record
Abstract
Bone is one of the most frequent sites for metastasis in breast cancer patients,often resulting in significant clinical morbidity and mortality. Increased matrix metalloproteinase (MMP) activity of tumor cells correlates with a higher invasive and metastatic potential. Members of the tetracycline family of antibiotics, including doxycycline, have potential treatment value for bone metastasis; they inhibit cancer cell proliferation, and they are also potent MMP inhibitors and are highly osteotropic. Doxycycline treatment in an experimental bone metastasis mouse model of human breast cancer MDA-MB-231 cells resulted in a 70% reduction in total tumor burden when compared with placebo control animals. In tumor-bearing animals, the amount of doxycycline incorporated into the radius/ulna as assessed by ELISA was lower than in non-tumor-bearing animals. In doxycycline-treated mice, bone formation was significantly enhanced as determined by increased numbers of osteoblasts, osteoid surface, and volume, whereas a decrease in bone resorption was also observed. Doxycycline treatment may be beneficial for breast cancer patients with or at risk for osteolytic bone metastasis; it greatly reduces tumor burden and could also compensate for the increased bone resorption associated with the disease.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".